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Found 8 papers, 1 papers with code
graph2vec: Learning Distributed Representations of Graphs
Recent works on representation learning for graph structured data predominantly focus on learning distributed representations of graph substructures such as nodes and subgraphs.
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A Novel Progressive Multi-label Classifier for Classincremental Data
In this paper, a progressive learning algorithm for multi-label classification to learn new labels while retaining the knowledge of previous labels is designed.
An Online Universal Classifier for Binary, Multi-class and Multi-label Classification
Several classifiers are developed for binary, multi-class and multi-label classification problems, but there are no classifiers available in the literature capable of performing all three types of classification.
A Novel Progressive Learning Technique for Multi-class Classification
In this paper, a progressive learning technique for multi-class classification is proposed.
A novel online multi-label classifier for high-speed streaming data applications
In this paper, a high-speed online neural network classifier based on extreme learning machines for multi-label classification is proposed.
A Novel Online Real-time Classifier for Multi-label Data Streams
In this paper, a novel extreme learning machine based online multi-label classifier for real-time data streams is proposed.
A High Speed Multi-label Classifier based on Extreme Learning Machines
In this paper a high speed neural network classifier based on extreme learning machines for multi-label classification problem is proposed and dis-cussed.
Multi-Label Classification Method Based on Extreme Learning Machines
The comparative results shows that the proposed Extreme Learning Machine based multi-label classification technique is a better alternative than the existing state of the art methods for multi-label problems.
